feat(investigations): add event impact and work-order feedback flows

Add isolated burst and pollution impact evidence, parallel work-order workflows, persisted notifications and graph updates.

Checkpoint current code. Known follow-ups remain for large pollution result previews and graceful geometry failure.

app/services/burst_impact.py

@@ -0,0 +1,147 @@
+"""Estimate pre-intervention burst pressure loss against a read-only online snapshot."""
+
+from datetime import datetime
+from math import isfinite
+from typing import Any
+
+from app.infra.db.timescaledb.internal_queries import InternalQueries
+from app.native.wndb.model.options import get_option, get_option_v3
+from app.services.node_coverage import MAX_COVERAGE_NODES, generate_node_coverage
+
+GRADES = (
+    ("drop_1_3", "压力下降 1≤Δ<3 m", 1, 3),
+    ("drop_3_5", "压力下降 3≤Δ<5 m", 3, 5),
+    ("drop_5_plus", "压力下降 Δ≥5 m", 5, None),
+)
+
+
+def _head_factor(unit: Any) -> float | None:
+    # Standard water head; unsupported or absent units must not become zero loss.
+    return {"m": 1.0, "meters": 1.0, "metres": 1.0,
+            "kpa": 1 / 9.80665, "psi": 6894.757293168 / 9806.65,
+            "bar": 100000 / 9806.65, "mpa": 1000000 / 9806.65,
+            "ft": 0.3048}.get(str(unit).strip().lower())
+
+
+def _number(value: Any) -> float | None:
+    if isinstance(value, bool):
+        return None
+    try:
+        result = float(value)
+    except (ValueError, TypeError, OverflowError):
+        return None
+    return result if isfinite(result) else None
+
+
+def _instant(value: Any) -> datetime | None:
+    try:
+        result = value if isinstance(value, datetime) else datetime.fromisoformat(value)
+    except (ValueError, TypeError):
+        return None
+    return result if result.tzinfo is not None else None
+
+
+def estimate_burst_impact(network: str, start: datetime, simulation: dict[str, Any], *,
+                          model_only: bool = False) -> dict[str, Any]:
+    """Compare every native node at t=0, before the adapter filters requested outputs.
+
+    The online snapshot is a model reference read at calculation time, not frozen
+    SCADA or a reconstructed historical model. All numerical inputs are retained
+    in task evidence so playback does not repeat this mutable reference query.
+    """
+    impact: dict[str, Any] = {
+        "status": "unavailable", "phase": "after_burst_before_intervention",
+        "comparison_time": start.isoformat(), "pressure_drop_unit": "m",
+        "baseline_source": "existing_online_simulation",
+        "baseline_read_at": datetime.now().astimezone().isoformat(),
+        "baseline_units_source": "current_model_settings",
+        "model_temporality": "current_model", "baseline_frozen": False,
+        "boundary_source": "model_only_no_live_scada" if model_only else "model_with_start_time_scada",
+        "boundary": "假设破口情景与同刻在线模拟的节点压力差估计；覆盖面为节点空间包络，非现场确认停水或用户服务边界。在线基线及其单位按计算时可用数据和模型设置读取。",
+        "grades": [{"group_id": key, "title": title, "min_inclusive_m": low,
+                    "max_exclusive_m": high, "node_ids": []} for key, title, low, high in GRADES],
+    }
+    output = {"impact": impact}
+    # Never silently shift t=0 to an unknown/delayed report sample or another day.
+    times = simulation.get("times", {})
+    sample_times = times.get("sample_times")
+    if ((sample_times and _instant(sample_times[0]) != start)
+            or (not sample_times and times.get("report_start") != 0)):
+        impact["reason"] = "simulation_has_no_verified_start_time_sample"
+        return output
+    options = get_option(network)
+    options_v3 = get_option_v3(network)
+    baseline_unit = options_v3.get("PRESSURE_UNITS") or options.get("PRESSURE")
+    impact["baseline_units_source"] = (
+        "current_v3_model_settings" if options_v3.get("PRESSURE_UNITS") else "current_legacy_model_settings"
+    )
+    impact["model_conditions"] = {
+        "baseline_demand_model": options_v3.get("DEMAND_MODEL") or options.get("DEMAND MODEL"),
+        "burst_demand_model": "PDA", "burst_required_pressure_model_units": 10,
+        "note": "爆管模拟采用压力驱动需水；与在线模型的需水方式差异也可能影响压力差。",
+    }
+    scenario_unit = simulation.get("units", {}).get("pressure")
+    baseline_factor, scenario_factor = _head_factor(baseline_unit), _head_factor(scenario_unit)
+    impact["input_pressure_units"] = {"baseline": baseline_unit, "burst": scenario_unit}
+    if baseline_factor is None or scenario_factor is None:
+        impact["reason"] = "unsupported_or_missing_pressure_units"
+        return output
+    nodes = simulation.get("node_results", [])
+    ids = [str(row["node"]) for row in nodes]
+    if not ids or len(ids) != len(set(ids)):
+        impact["reason"] = "missing_or_duplicate_simulation_nodes"
+        return output
+    baseline = InternalQueries.query_realtime_simulation_by_ids_timerange(
+        ids, start, start, "node", "pressure", db_name=network,
+    )
+    comparisons, missing = [], []
+    for row in nodes:
+        node_id = str(row["node"])
+        samples = row.get("result") or []
+        burst = _number(samples[0].get("pressure")) if samples and isinstance(samples[0], dict) else None
+        exact = [item for item in baseline.get(node_id, []) if _instant(item.get("time")) == start]
+        normal = _number(exact[0].get("value")) if len(exact) == 1 else None
+        if burst is None or normal is None:
+            missing.append(node_id)
+            continue
+        normal_m, burst_m = normal * baseline_factor, burst * scenario_factor
+        drop = normal_m - burst_m
+        if not all(isfinite(value) for value in (normal_m, burst_m, drop)):
+            missing.append(node_id)
+            continue
+        comparisons.append({"node_id": node_id, "baseline_m": normal_m,
+                            "burst_m": burst_m, "pressure_drop_m": drop})
+        for group in impact["grades"]:
+            if drop >= group["min_inclusive_m"] and (
+                group["max_exclusive_m"] is None or drop < group["max_exclusive_m"]
+            ):
+                group["node_ids"].append(node_id)
+                break
+    impact.update(status="partial" if missing else "ready", node_count=len(ids),
+                  compared_node_count=len(comparisons), unavailable_node_ids=missing,
+                  comparisons=comparisons)
+    affected = sum(len(group["node_ids"]) for group in impact["grades"])
+    impact["affected_node_count"] = affected
+    impact["below_threshold_node_count"] = len(comparisons) - affected
+    if not comparisons:
+        impact.update(status="unavailable", reason="no_exact_comparable_online_snapshot")
+        return output
+    if affected > MAX_COVERAGE_NODES:
+        impact["coverage_status"] = "unavailable"
+        impact["coverage_reason"] = "affected_nodes_exceed_10000_coverage_limit"
+        return output
+    groups = [{key: group[key] for key in ("group_id", "title", "node_ids")}
+              for group in impact["grades"]]
+    geometry = generate_node_coverage(network, groups)
+    impact["coverage_status"] = geometry["coverage"]["status"]
+    geometry["coverage"]["boundary"] = impact["boundary"]
+    for feature in geometry["map_payload"]["features"]:
+        feature["properties"].update(
+            impact_phase=impact["phase"], pressure_drop_unit="m",
+            pressure_drop_grade=feature["properties"]["coverage_group"],
+            comparison_time=start.isoformat(), model_estimate=True,
+        )
+    if geometry["coverage"]["status"] == "partial":
+        impact["status"] = "partial"
+    output.update(geometry)
+    return output

app/services/contaminant_impact.py

@@ -0,0 +1,112 @@
+"""Estimate a scenario's time-cumulative concentration coverage before output filtering."""
+from datetime import datetime, timedelta
+from math import isfinite
+from typing import Any
+
+from app.services.node_coverage import MAX_COVERAGE_NODES, generate_node_coverage
+
+
+def _sample_times(start: datetime, duration: int, metadata: dict) -> list[datetime]:
+    explicit = metadata.get("sample_times")
+    if explicit is not None:
+        times = [datetime.fromisoformat(value) for value in explicit]
+    else:
+        offset, step, count = (metadata.get(key) for key in ("report_start", "report_step", "num_periods"))
+        if (any(type(value) is not int for value in (offset, step, count))
+                or offset < 0 or step <= 0 or not 0 < count <= 86401):
+            raise ValueError("missing or invalid report grid")
+        times = [start + timedelta(seconds=offset + index * step) for index in range(count)]
+    if (not times or len(times) > 86401 or any(at.tzinfo is None for at in times)
+            or any(not start <= at <= start + timedelta(seconds=duration) for at in times)
+            or any(left >= right for left, right in zip(times, times[1:]))):
+        raise ValueError("invalid simulation sample times")
+    return times
+
+
+def estimate_contaminant_impact(network: str, start: datetime, duration: int,
+                                simulation: dict[str, Any], *, threshold_mg_l: float = 0,
+                                model_only: bool = False) -> dict[str, Any]:
+    """Use every native node and report sample; never infer propagation from requested nodes."""
+    impact: dict[str, Any] = {
+        "status": "unavailable", "phase": "after_contamination_before_intervention",
+        "window_start": start.isoformat(), "window_end": (start + timedelta(seconds=duration)).isoformat(),
+        "threshold_mg_l": threshold_mg_l, "threshold_operator": ">", "concentration_unit": "mg/L",
+        "threshold_purpose": "scenario_display_not_drinking_water_standard",
+        "model_temporality": "current_model", "quantity": "total_model_concentration",
+        "boundary_source": "model_only_no_live_scada" if model_only else "model_with_start_time_scada",
+        "boundary": "给定源浓度、模型初始水质及反应条件下，整个模拟时段内超过展示阈值的节点覆盖；"
+                    "首达时间为首个超过阈值的报告采样时刻。不是污染确诊、源独立贡献、现场污染边界或饮用水合格判定。",
+    }
+    output = {"impact": impact}
+    unit = simulation.get("units", {}).get("quality")
+    factor = {"mgl": 1.0, "mg/l": 1.0, "ugl": 0.001, "ug/l": 0.001}.get(
+        str(unit).strip().lower().replace("μ", "u").replace("µ", "u"))
+    impact["input_concentration_unit"] = unit
+    if factor is None:
+        impact["reason"] = "unsupported_or_missing_concentration_unit"
+        return output
+    try:
+        times = _sample_times(start, duration, simulation.get("times", {}))
+    except (TypeError, ValueError, OverflowError):
+        impact["reason"] = "simulation_has_no_verified_sample_times"
+        return output
+    rows = simulation.get("node_results", [])
+    ids = [str(row["node"]) for row in rows]
+    if not ids or len(ids) != len(set(ids)):
+        impact["reason"] = "missing_or_duplicate_simulation_nodes"
+        return output
+    affected, unavailable, incomplete = [], [], []
+    for row in rows:
+        node = str(row["node"])
+        samples = row.get("result") or []
+        if len(samples) > len(times):
+            impact["reason"] = "simulation_sample_count_mismatch"
+            return output
+        valid = []
+        for at, sample in zip(times, samples):
+            value = sample.get("quality") if isinstance(sample, dict) else None
+            if isinstance(value, bool) or value is None:
+                continue
+            try:
+                concentration = float(value) * factor
+            except (TypeError, ValueError, OverflowError):
+                continue
+            if isfinite(concentration) and concentration >= 0:
+                valid.append((at, concentration))
+        if not valid:
+            unavailable.append(node)
+            continue
+        if len(valid) != len(times):
+            incomplete.append(node)
+        exceedances = [(at, value) for at, value in valid if value > threshold_mg_l]
+        if exceedances:
+            peak_at, peak = max(valid, key=lambda item: item[1])
+            affected.append({"node_id": node, "first_exceedance_sample_at": exceedances[0][0].isoformat(),
+                             "peak_mg_l": peak, "peak_at": peak_at.isoformat(),
+                             "valid_sample_count": len(valid), "complete": len(valid) == len(times)})
+    impact.update(status="partial" if unavailable or incomplete else "ready",
+                  node_count=len(ids), report_sample_count=len(times),
+                  reported_from=times[0].isoformat(), reported_through=times[-1].isoformat(),
+                  unavailable_node_ids=unavailable, incomplete_node_ids=incomplete,
+                  affected_node_count=len(affected), nodes=affected,
+                  affected_node_ids=[item["node_id"] for item in affected])
+    if len(unavailable) == len(ids):
+        impact.update(status="unavailable", reason="no_valid_concentration_samples")
+        return output
+    if len(affected) > MAX_COVERAGE_NODES:
+        impact.update(coverage_status="unavailable", coverage_reason="affected_nodes_exceed_10000_coverage_limit")
+        return output
+    geometry = generate_node_coverage(network, [{
+        "group_id": "contaminant_exposure", "title": f"模拟浓度>{threshold_mg_l:g} mg/L的累计节点范围",
+        "node_ids": impact["affected_node_ids"],
+    }])
+    impact["coverage_status"] = geometry["coverage"]["status"]
+    geometry["coverage"]["boundary"] = impact["boundary"]
+    for feature in geometry["map_payload"]["features"]:
+        feature["properties"].update(impact_phase=impact["phase"], concentration_unit="mg/L",
+                                     threshold_mg_l=threshold_mg_l, model_estimate=True,
+                                     window_start=impact["window_start"], window_end=impact["window_end"])
+    if geometry["coverage"]["status"] == "partial":
+        impact["status"] = "partial"
+    output.update(geometry)
+    return output

app/services/contaminant_source_trace.py

@@ -0,0 +1,34 @@
+"""Temporary deterministic candidate selection behind the source-tracing contract.
+
+Replace this selection with source inversion when the algorithm is available.
+Only project-owned nodes supplied from the investigation are eligible. No
+observation fit, confidence or contamination extent is inferred here.
+"""
+from psycopg import AsyncConnection
+
+from app.infra.db.postgresql.read_queries import read_rows
+from app.mcp.analysis_models import ContaminantSourceTraceInput
+
+
+async def trace_contaminant_source(connection: AsyncConnection, args: ContaminantSourceTraceInput) -> dict:
+    rows = await read_rows(connection, """
+        SELECT id, node_type::text AS kind FROM network.nodes
+        WHERE id = ANY(%s) ORDER BY id
+    """, (args.candidate_node_ids,))
+    # Sort in Python as well so selection does not depend on DB collation.
+    nodes = sorted({str(row["id"]) for row in rows})
+    selected = nodes[0] if nodes else None
+    return {
+        "located_node": selected,
+        "top_candidates": [{"node_id": selected}] if selected else [],
+        "exit_condition": "candidate_selected" if selected else "no_candidate",
+        "method": "deterministic_candidate_selection",
+        "algorithm_status": "provisional",
+        "selection_basis": "lexicographically_first_existing_candidate_node",
+        "validated_node_ids": nodes,
+        "missing_node_ids": sorted(set(args.candidate_node_ids) - set(nodes)),
+        "notice": ("已返回待现场核验的候选节点；先展示节点、保存阶段结论并提出现场核查／采样处置工单，"
+                   "工单审核派发与污染传播模拟、节点隔离及影响分析并行，结果补入同一调查。"
+                   "正式污染反演算法尚未接入，本次选择不代表污染源确诊或污染传播范围。" if selected else
+                   "提交的候选节点均不在当前项目模型中；核对事件位置及资产映射后重新提交，继续不依赖源节点的调查。"),
+    }

app/services/investigation_graph.py

@@ -23,10 +23,11 @@ def adopt_legacy_investigation_graph(diagram: InvestigationDiagram) -> Investiga
 def update_investigation_graph(
     previous: InvestigationDiagram | None, update: InvestigationGraphUpdate,
 ) -> InvestigationDiagram:
-    """Upsert nodes and append explicit edges; never delete a path or erase a failed attempt.
+    """Patch saved nodes or add labelled nodes and explicit edges; never erase a path.
 
-    A retry uses a new node id. Relationships describe activity for readers and
-    impose no ordering or completion requirements on the Agent.
+    Unspecified fields retain their saved values. A failed attempt remains
+    failed, and a retry uses a new node id. Relationships impose no execution
+    ordering or completion requirements on the Agent.
     """
     if previous is not None:
         previous = adopt_legacy_investigation_graph(previous)
@@ -47,15 +48,19 @@ def update_investigation_graph(
         if existing is None:
             require(not in_source(node.node_id), "GRAPH_LEGACY_NODE_CONFLICT",
                     "This id belongs to the original Mermaid; use a new node id", status=409)
+            require(node.label is not None, "GRAPH_NODE_LABEL_REQUIRED",
+                    "A new graph node requires a label; use an existing node_id for a partial update", status=422)
             nodes[node.node_id] = InvestigationDiagramNodeRef.model_validate(node.model_dump(exclude_unset=True))
             continue
-        require(not in_source(node.node_id) or existing.label == node.label,
+        require(not in_source(node.node_id) or node.label is None or existing.label == node.label,
                 "GRAPH_LEGACY_NODE_CONFLICT", "Keep the original node label; use a new node for a new step", status=409)
         require(existing.status != "failed" or (
             ("status" not in node.model_fields_set or node.status == "failed")
-            and existing.label == node.label
+            and (node.label is None or existing.label == node.label)
         ), "GRAPH_FAILED_ATTEMPT_IMMUTABLE", "Keep the failed attempt; use a new node for a retry", status=409)
         changes = node.model_dump(exclude_unset=True)
+        if node.label is None:
+            changes.pop("label", None)
         if existing.status == "failed" and existing.detail and not changes.get("detail"):
             changes.pop("detail", None)
         for field in ("evidence_refs", "action_refs", "map_targets"):

app/services/operational_recovery.py

@@ -16,7 +16,7 @@ if TYPE_CHECKING:
     from app.services.operational_tasks import OperationalTaskService
 
 
-RECOVERY_WORKFLOWS = {"burst_report", "scada_anomaly"}
+RECOVERY_WORKFLOWS = {"burst_report", "scada_anomaly", "water_pollution"}
 
 
 def track_work_order(task: dict, action: dict) -> bool:
@@ -60,6 +60,8 @@ def accept_completion(task: dict, feedback: dict, *, recorded_at: datetime | Non
     # edits. A revised field receipt can explicitly correct the verification start.
     if feedback["status"] == "completed":
         order["returned_at"] = feedback["occurred_at"]
+        if task.get("workflow") == "water_pollution":
+            order["feedback_evidence_id"] = (feedback.get("evidence") or {}).get("evidence_id")
     else:
         order.pop("returned_at", None)
     if order.get("superseded_by"):
@@ -67,6 +69,13 @@ def accept_completion(task: dict, feedback: dict, *, recorded_at: datetime | Non
     orders = [item for item in context["work_orders"].values() if not item.get("superseded_by")]
     if orders and all(item["status"] == "completed" for item in orders):
         returned_at = max((item["returned_at"] for item in orders), key=datetime.fromisoformat)
+        if task.get("workflow") == "water_pollution":
+            # A completion receipt resumes review, never the pressure-based
+            # automatic recovery calculation. Source revisions may carry new
+            # sampling or retest facts even when the field time is unchanged.
+            context.update(phase="field_review", title="水污染处置反馈复核", returned_at=returned_at)
+            context.pop("verification_evidence_id", None)
+            return True
         previous = context.get("returned_at")
         if (previous is None or datetime.fromisoformat(previous) != datetime.fromisoformat(returned_at)
                 or context.get("phase") == "waiting_work_order"):

app/services/operational_scada_coverage.py

@@ -7,7 +7,7 @@ from app.domain.domain_errors import require
 
 def require_complete_scada_evidence(task: dict, evidence: list[dict], refs: list[str]) -> None:
     replay = task.get("source", {}).get("replay_context")
-    if task.get("workflow") != "scada_anomaly" and not replay:
+    if task.get("workflow") not in {"scada_anomaly", "water_pollution"} and not replay:
         return
     target = datetime.fromisoformat(
         replay["knowledge_cutoff"] if replay else task["trigger"]["occurred_at"]

app/services/operational_tasks.py

@@ -56,6 +56,7 @@ from app.domain.schemas.operational_task import (
     OperationalTaskCreate,
     OperationalTaskDetail,
     OperationalTaskNotification,
+    WorkOrderNotificationReference,
     OperationalTaskPermissions,
     OperationalTaskSchedule,
     OperationalTaskScheduleCreate,
@@ -874,7 +875,7 @@ class OperationalTaskService:
                     diagram = update_investigation_graph(saved_diagram, command.progress.graph_update)
                 elif saved_diagram is not None:
                     require(diagram is None or saved_diagram.edges is None, "GRAPH_UPDATE_REQUIRED",
-                            "Use graph_update to extend the saved investigation graph", status=422)
+                            "Use graph_update to patch saved nodes or extend the investigation graph", status=422)
                     if diagram is None:
                         diagram = adopt_legacy_investigation_graph(saved_diagram)
                 if diagram:
@@ -1258,6 +1259,7 @@ class OperationalTaskService:
                 task_id, "action_approval_pending", task["title"], command.reason, now,
                 required_permission=approval_permission,
                 subject_type="action", subject_id=action.action_id,
+                work_order_action=action if action.kind == "create_work_order" else None,
             )
             await self._save_request(
                 scope, command.request_id, body, {"action_id": str(action.action_id)}
@@ -1743,6 +1745,29 @@ class OperationalTaskService:
                     task_id, "task_failed",
                     task["title"], command.detail, now,
                 )
+            if command.source_revision > 1 and task["task_type"] in {"external_work_order", "event_investigation"}:
+                # The feedback, its notification and outbox event commit together.
+                # Duplicate request/source versions return above, before publishing.
+                work_order_action = next((item for item in await self.repo.list_actions(str(task_id))
+                    if item["kind"] == "create_work_order" and item.get("receipt")
+                    and command.source_event_id == f"{item['receipt']['adapter']}:{item['receipt']['receipt_id']}"), None)
+                is_work_order_feedback = (task["task_type"] == "external_work_order"
+                    or work_order_action is not None
+                    or (task["task_type"] == "event_investigation" and matching_source))
+                if is_work_order_feedback:
+                    await self._notify(
+                        task_id, "work_order_feedback", "收到工单反馈",
+                        command.evidence.summary if command.evidence else command.detail, now,
+                        subject_type="action" if work_order_action else "task",
+                        subject_id=UUID(str(work_order_action["action_id"])) if work_order_action else task_id,
+                        work_order_action=HumanApprovalAction.model_validate(work_order_action) if work_order_action else None,
+                        work_order_reference=WorkOrderNotificationReference(
+                            source_event_id=command.source_event_id,
+                            source_revision=command.source_revision,
+                            evidence_id=command.evidence.evidence_id if command.evidence else None,
+                            status=command.status,
+                        ),
+                    )
             response = {
                 "source_event_id": command.source_event_id,
                 "source_revision": command.source_revision,
@@ -2161,12 +2186,24 @@ class OperationalTaskService:
                         lifecycle = self._investigation_status(actions, task)
                         recovery = task.get("handling_context") or {}
                         if lifecycle == "completed" and recovery:
-                            require(recovery.get("verification_evidence_id") in report.report.evidence_refs,
-                                    "RECOVERY_EVIDENCE_REQUIRED", "最终复核报告必须引用恢复监测证据", status=409)
+                            if task.get("workflow") == "water_pollution":
+                                orders = [item for item in recovery.get("work_orders", {}).values()
+                                          if not item.get("superseded_by")]
+                                feedback_refs = [item.get("feedback_evidence_id") for item in orders]
+                                require(recovery.get("phase") in {"field_review", "completed"} and bool(orders)
+                                        and all(item["status"] == "completed" for item in orders)
+                                        and all(ref and ref in report.report.evidence_refs for ref in feedback_refs),
+                                        "POLLUTION_FEEDBACK_REQUIRED", "水污染最终报告必须复核并引用全部最新现场反馈证据", status=409)
+                                verification_id = feedback_refs[-1]
+                            else:
+                                verification_id = recovery.get("verification_evidence_id")
+                                require(verification_id in report.report.evidence_refs,
+                                        "RECOVERY_EVIDENCE_REQUIRED", "最终复核报告必须引用恢复监测证据", status=409)
                             require(report.report.outcome == "concluded", "RECOVERY_EVIDENCE_REQUIRED",
                                     "恢复复核通过后才能结束事件", status=409)
-                            recovery.update(phase="completed", title="恢复供水复核成功", completed_at=now.isoformat())
-                            await self._resolve_investigation_alerts(str(task_id), recovery["verification_evidence_id"])
+                            recovery.update(phase="completed", title=("水污染处置反馈已复核" if task.get("workflow") == "water_pollution"
+                                                                     else "恢复供水复核成功"), completed_at=now.isoformat())
+                            await self._resolve_investigation_alerts(str(task_id), verification_id)
                     elif report.report.outcome == "insufficient_data":
                         terminal = all(node.status in {"completed", "skipped", "cancelled"}
                                        for node in plan.plan.nodes)
@@ -2519,6 +2556,8 @@ class OperationalTaskService:
         *, required_permission: str | None = None,
         subject_type: str = "task", subject_id: UUID | None = None,
         report_reference: InvestigationReportReference | None = None,
+        work_order_reference: WorkOrderNotificationReference | None = None,
+        work_order_action: HumanApprovalAction | None = None,
     ) -> None:
         notification = OperationalTaskNotification(
             notification_id=uuid4(), task_id=task_id, kind=kind,
@@ -2527,6 +2566,8 @@ class OperationalTaskService:
             lifecycle_status="active", subject_type=subject_type,
             subject_id=subject_id or task_id,
             report_reference=report_reference,
+            work_order_reference=work_order_reference,
+            work_order_action=work_order_action,
         )
         await self.repo.insert_notification(_json(notification))
         await self._append_event(

app/services/scada_normal_profile.py

@@ -19,9 +19,20 @@ def current_calibration(document: dict, start: datetime) -> dict | None:
     return None
 
 
+def pollution_signal(document: dict, event: dict) -> bool:
+    """Water-quality measurements have their own incident investigation workflow."""
+    if event.get("category") == "data_quality":
+        return False
+    devices = {item["device_id"]: item.get("device_type") for item in document.get("devices", [])}
+    ids = event.get("device_ids") or next((item.get("device_ids", [])
+        for item in (document.get("config") or {}).get("rules", [])
+        if item["rule_id"] == event.get("rule_id")), [])
+    return bool(ids) and all(devices.get(device) in {"quality", "water_quality"} for device in ids)
+
+
 def diagnostic_signal(document: dict, event: dict) -> bool:
     """Never revive a persisted fixed-percentage event as new diagnosis evidence."""
-    if event.get("category") == "data_quality":
+    if event.get("category") == "data_quality" or pollution_signal(document, event):
         return False
     if not weighted_diagnosis(document):
         return True

app/services/scada_presentation_coverage.py

@@ -10,14 +10,14 @@ from app.domain.domain_errors import require
 
 
 DISPLAY_TIMEZONE = timezone(timedelta(hours=8))
-METRICS = {"pressure": "pressure", "pipe_flow": "flow", "flow": "flow"}
+METRICS = {"pressure": "pressure", "pipe_flow": "flow", "flow": "flow", "quality": "quality", "water_quality": "quality"}
 
 
 def applies(task: dict) -> bool:
-    if task.get("workflow") != "scada_anomaly" and not task.get("source", {}).get("replay_context"):
+    if task.get("workflow") not in {"scada_anomaly", "water_pollution"} and not task.get("source", {}).get("replay_context"):
         return False
     # Recovery has its own Server-verified post-repair evidence and finalization gate.
-    return (task.get("handling_context") or {}).get("phase") not in {"verification_ready", "completed"}
+    return (task.get("handling_context") or {}).get("phase") not in {"verification_ready", "field_review", "completed"}
 
 
 def cutoff(task: dict) -> datetime:

app/services/scada_replay.py

@@ -429,6 +429,7 @@ class ScadaReplayService:
             await self.repo.save(document)
 
     async def _create_investigations(self, document, changes, batch, *, create_tasks=True):
+        from app.services.scada_normal_profile import pollution_signal
         from app.domain.schemas.operational_task import OperationalTaskCreate, TaskSource, TaskTrigger
         from app.infra.db.postgresql.operational_tasks import OperationalTaskRepository
         from app.services.operational_tasks import OperationalTaskService
@@ -443,9 +444,10 @@ class ScadaReplayService:
                                        self.context, permissions_for_context(self.context),
                                        execution_scope=settings.operational_task_execution_scope)
         for event in changes:
-            # Period diagnosis owns measurement notifications during manual steps.
-            # Retain rule events as evidence; quality alerts remain independent.
-            if (not create_tasks and event.get("category") != "data_quality"
+            pollution = pollution_signal(document, event)
+            # Pressure/flow rules share period diagnosis during manual steps.
+            # Water-quality incidents and telemetry-quality alerts stay independent.
+            if (not create_tasks and not pollution and event.get("category") != "data_quality"
                     and (event["change"] == "raised" or event.get("notification_suppressed"))):
                 if event["change"] == "raised":
                     event["batch_sequence"] = batch["sequence"]
@@ -457,13 +459,33 @@ class ScadaReplayService:
             if event["change"] == "raised":
                 event["batch_sequence"] = batch["sequence"]
                 document["rule_states"][event.get("state_key", event["rule_id"])]["event"]["batch_sequence"] = batch["sequence"]
+            if event["change"] == "raised" and event.get("category") != "data_quality" and (create_tasks or pollution):
+                external = f"scada_replay:{document['replay_id']}:event:{event['event_id']}"
+                command = OperationalTaskCreate(
+                    request_id=uuid5(NAMESPACE_URL, external), task_type="event_investigation",
+                    workflow="water_pollution" if pollution else "scada_anomaly",
+                    title=f"{'水污染事件调查' if pollution else 'SCADA 回放调查'} · {event['rule_id']}",
+                    summary=event["detail"], source=TaskSource(
+                        kind="external_system", external_id=external, external_revision=1,
+                        event_kind="water_pollution" if pollution else "scada_anomaly",
+                        replay_context={"replay_id": document["replay_id"],
+                                        "knowledge_cutoff": batch["at"], "batch_sequence": batch["sequence"]},
+                    ),
+                    trigger=TaskTrigger(kind="event", occurred_at=event["occurred_at"], detail=(
+                        "水质监测规则检出异常，启动水污染事件调查；污染源及影响待核验" if pollution else
+                        "已存 SCADA 历史的回放检测信号，原因尚待调查")),
+                )
+                task = await tasks.create(command)
+                event["task_id"] = str(task.task_id)
+                document["rule_states"][event.get("state_key", event["rule_id"])]["event"]["task_id"] = event["task_id"]
             await alerts.push(TaskAlertEvent(
                 event_id=uuid5(NAMESPACE_URL, event["event_id"] + ":" + event["change"]),
                 alert_id=event["event_id"], producer_id=producer, event_type=event["change"],
-                occurred_at=event["occurred_at"], condition_id=None,
+                occurred_at=event["occurred_at"],
+                condition_id=f"operational-task:{event['task_id']}" if pollution and event.get("task_id") else None,
                 source={"kind": "scada_replay", "replay_id": document["replay_id"],
                         "rule_id": event["rule_id"], "batch_sequence": event["batch_sequence"]},
-                title=f"SCADA 回放异常 · {event['rule_id']}", description=event["detail"], severity="warning",
+                title=f"{'水污染侦测异常' if pollution else 'SCADA 回放异常'} · {event['rule_id']}", description=event["detail"], severity="warning",
             ))
             if event["change"] != "raised":
                 if event.get("task_id"):
@@ -472,25 +494,6 @@ class ScadaReplayService:
                         "batch_sequence": batch["sequence"],
                     }, uuid5(NAMESPACE_URL, event["event_id"] + ":recovery"))
                 continue
-            if event.get("category") == "data_quality":
-                continue
-            if not create_tasks:
-                continue
-            external = f"scada_replay:{document['replay_id']}:event:{event['event_id']}"
-            command = OperationalTaskCreate(
-                request_id=uuid5(NAMESPACE_URL, external), task_type="event_investigation",
-                workflow="scada_anomaly", title=f"SCADA 回放调查 · {event['rule_id']}",
-                summary=event["detail"], source=TaskSource(
-                    kind="external_system", external_id=external, external_revision=1,
-                    event_kind="scada_anomaly",
-                    replay_context={"replay_id": document["replay_id"],
-                                    "knowledge_cutoff": batch["at"], "batch_sequence": batch["sequence"]},
-                ),
-                trigger=TaskTrigger(kind="event", occurred_at=event["occurred_at"], detail="已存 SCADA 历史的回放检测信号，原因尚待调查"),
-            )
-            task = await tasks.create(command)
-            event["task_id"] = str(task.task_id)
-            document["rule_states"][event.get("state_key", event["rule_id"])]["event"]["task_id"] = event["task_id"]
 
     async def _create_monitoring_task(self, document, monitoring, batch):
         from app.services.scada_monitoring_incidents import attach_incident, update_incident

app/services/simulation_scenarios.py

@@ -29,6 +29,7 @@ from app.native.wndb.model.sources import (
 )
 from app.native.wndb.model.times import get_time, set_time
 from app.domain.time import parse_clock_duration_seconds
+from app.infra.db.postgresql.scada import ScadaElementMappings
 
 
 def _isolated_analysis(purpose: str):
@@ -79,6 +80,7 @@ def burst_analysis(
     username: str | None = None,
     persist_results: bool = True,
     _temporary_project: str | None = None,
+    scada_mappings: ScadaElementMappings | None = None,
 ) -> dict | None:
     """
     爆管模拟
@@ -123,6 +125,7 @@ def burst_analysis(
         name=new_name,
         simulation_type="manually_temporary",
         modify_pattern_start_time=modify_pattern_start_time,
+        scada_mappings=scada_mappings,
     )
     print(
         datetime.now(pytz.timezone("Asia/Shanghai")).strftime("%Y-%m-%d %H:%M:%S")
@@ -203,6 +206,7 @@ def burst_analysis(
         modify_variable_pump_pattern=modify_variable_pump_pattern,
         modify_valve_opening=modify_valve_opening,
         scheme_type="burst_analysis",
+        scada_mappings=scada_mappings,
         scheme_name=scheme_name,
         result_db_name=name,
         scheme_username=username,
@@ -469,6 +473,7 @@ def contaminant_simulation(
     username: str | None = None,
     _temporary_project: str | None = None,
     persist_results: bool = True,
+    scada_mappings: ScadaElementMappings | None = None,
 ) -> dict | str | None:
     """
     污染模拟
@@ -591,6 +596,7 @@ def contaminant_simulation(
         scheme_username=username,
         scheme_detail=scheme_detail,
         persist_results=persist_results,
+        scada_mappings=scada_mappings,
     )
     return result if not persist_results else None